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Negation without symbols: the importance of recurrence and context in linguistic negation

2012; Imperial College Press; Volume: 11; Issue: 03 Linguagem: Inglês

10.1142/s0219635212500239

1757-448X

Stephanie Huette, Sarah Anderson,

Child and Animal Learning Development

Journal of Integrative NeuroscienceVol. 11, No. 03, pp. 295-312 (2012) ArticlesNo AccessNegation without symbols: the importance of recurrence and context in linguistic negationStephanie Huette and Sarah AndersonStephanie HuetteCognitive and Information Sciences, University of California Merced, Merced, CA 95343, USACorresponding author. Search for more papers by this author and Sarah AndersonDepartment of Psychology, University of Cincinnati, Cincinnati, OH 45221-0376, USA Search for more papers by this author https://doi.org/10.1142/S0219635212500239Cited by:7 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractA simple recurrent network with a perceptual simulation layer was trained on a corpus of affirmative and negated sentences. Linguistic negation can be encoded by the network via the inclusion (or absence) of features and categories associated with the senses, in one step, without the need for an explicit logical operation or for treating the negating word any differently than any other words. Visualizing negation as a trajectory in perceptual simulation space is explored in detail, and the implications for artificial intelligence, embodied computational models, and more practical implications of everyday use of negations are discussed.Keywords:Negationdistributed representationsembodied cognitionperceptual simulationsemantic spacenetwork simulationsentence processing References G. T. M. Altmann and M. J. Steedman, Cognition 30, 191 (1988), DOI: 10.1016/0010-0277(88)90020-0. Crossref, Medline, ISI, Google ScholarS. E. Andersonet al., Meaning, Form & body, eds. F. Parrill, V. Tobin and M. Turner (CSLI, Stanford, 2010) pp. 1–20. Google ScholarS. E. 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